[Remote] Azure ML Architect / Consultant

Note: The job is a remote job and is open to candidates in USA. Resource 1, Inc. is seeking an Azure ML Architect / Consultant for a contract position. The role involves assessing current predictive modeling workflows and designing an Azure-based ML architecture to enhance model scoring, deployment, and integration with Salesforce, while also providing training and documentation to the internal team.

Responsibilities

• Assess existing predictive models, local workflows, and data sources and document architectural requirements
• Recommend Azure ML architecture and specific Azure services required based on best practices
• Provide guidance and documentation for deployment, monitoring, and cost forecasting of Azure ML workloads
• Advise on data pipeline design from Oracle to Azure and patterns to integrate scored outputs into Salesforce
• Deliver training, demos, and knowledge transfer to internal team members and produce runbooks
• Develop a plan and assist with configuration/setup of the Azure environment and subscription considerations
• Support a proof-of-concept migration of one model to Azure as a template for future models
• Advise on hosting options for custom self-service web apps and containerization strategies

Skills

• Proven experience designing and deploying Azure ML solutions and ML operationalization
• Deep knowledge of Azure services (Azure ML, Data Factory or Pipelines, compute and storage) and cost drivers
• Experience building or advising on data pipelines from Oracle or similar data warehouses into cloud environments
• Familiarity with integrating ML outputs into Salesforce (including MuleSoft or other integration patterns)
• Strong ability to produce documentation, runbooks, training materials, and conduct knowledge transfer
• Expertise in monitoring, governance, security, and permissions for Azure ML workloads
• Experience with Azure OpenAI / LLM integrations and governance for AI usage
• Hands-on experience hosting web applications on Azure (AKS, containers, App Service) for self-service tools
• Prior experience in higher education or nonprofit analytics environments

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